E10 | 13 min | Latest | Publication Source

• Podcast based on: Javanmard Z, Zarean Shahraki S, Safari K, Omidi A, Raoufi S, Rajabi M, Akbari ME and Aria M (2025) Artificial intelligence in breast cancer survival prediction: a comprehensive systematic review and meta-analysis. Front. Oncol. 14:1420328. doi: 10.3389/fonc.2024.1420328 https://doi.org/10.3389/fonc.2024.1420328 Type: Review | Publication date: Jan 7, 2025
• Summary: This systematic review and meta-analysis assesses the use of artificial intelligence (AI) and machine learning (ML) algorithms in predicting breast cancer survival. The study examined 32 articles, finding a mean validation accuracy of 89.73% across various ML methods, with hybrid models showing the highest accuracy. A key limitation highlighted was the prevalent use of internal validation, hindering the generalisability of the models. The research suggests significant potential for AI in breast cancer prediction but emphasises the need for rigorous external validation and improved data handling in future studies to ensure reliable clinical application.
• Keywords: breast cancer, survival prediction, machine learning, deep learning, clinical data, systematic review, meta-analysis

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